Description review

Product Manager, UK

Ema · United Kingdom · back to the listing

HR standards

42/100

poor

Title ↔ description

90/100

strong

Reads as

Product Manager

100% confident

What this role officially is

ICT product manager — ESCO, the EU occupation classification

ICT product managers analyse and define current and target status for ICT products, services or solutions. They estimate the cost effectiveness, points of risk, opportunities, strengths and weaknesses of products or services provided. ICT product managers create structured plans and establish time scales and milestones, ensuring optimisation of activities and resources.

Also known as: IT product manager, IT products manager, ICT product managers, ICT products manager, ICT products managers

How others title the same work

Large employers

  • Staff Product Manager, Search Experiences Mozilla
  • Missionforce - Senior Product Manager, Agentforce Public Sector Salesforce
  • Product Lead, Connect Stripe
  • Product Manager - Compliance, Bridge Stripe
  • Product Manager, Ecosystem Risk Stripe

Startups

  • Technical Product Manager Careforce
  • Product Manager Agave
  • Product Manager AlgoTest
  • Product Manager Aqua
  • Product Manager Artisan

What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

About Ema

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale.

The Role

Shape Ema's product direction. You'll research customers, prioritize features, work with engineering and design, and drive adoption of innovative AI capabilities.

What You'll Own

Define product strategy and roadmap

Conduct customer research and discovery

Write PRDs (Product Requirement Documents)

Collaborate with engineering and design to ship features

Analyze metrics and drive data-informed decisions

Go-to-market strategy and launch planning

Qualifications

Required

6-10 years PM experience in SaaS or enterprise software

Strong cross-functional leadership and communication

Experience shipping multiple features end-to-end

Data-driven decision making and analytics

Customer research and user empathy

BTech in CS/related field from top Institutes

Preferred

PM at high-growth SaaS companies (50-500 employees)

Experience with platform or API products

AI/ML product experience

Enterprise sales support and GTM experience

Analytics and A/B testing expertise

Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.

Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 16 points (from 58 before penalties). Reviewed 21 Sep 2026.